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docs: Fix some document's anchor

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Signed-off-by: YunKui Lu <luyunkui95@gmail.com>
This commit is contained in:
YunKui Lu
2025-05-10 14:34:41 +08:00
committed by Mark Pollack
parent 5f6c618f76
commit fa5fb53d4c
40 changed files with 44 additions and 43 deletions
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2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/anthropic-chat.adoc
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@@ -23,7 +23,7 @@ export SPRING_AI_ANTHROPIC_API_KEY=<INSERT KEY HERE>
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/azure-openai-chat.adoc
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@@ -79,7 +79,7 @@ For this you need to set the `spring.ai.azure.openai.openai-api-key=<Your OpenAI
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/deepseek-chat.adoc
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@@ -17,7 +17,7 @@ export SPRING_AI_DEEPSEEK_API_KEY=<INSERT KEY HERE>
=== Add Repositories and BOM
Spring AI artifacts are published in the Spring Milestone and Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout your entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/groq-chat.adoc
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@@ -38,7 +38,7 @@ export SPRING_AI_OPENAI_CHAT_MODEL=llama3-70b-8192
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/huggingface.adoc
View File

@@ -24,7 +24,7 @@ export SPRING_AI_HUGGINGFACE_CHAT_URL=<INSERT INFERENCE ENDPOINT URL HERE>
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/minimax-chat.adoc
View File

@@ -18,7 +18,7 @@ export SPRING_AI_MINIMAX_API_KEY=<INSERT KEY HERE>
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/mistralai-chat.adoc
View File

@@ -20,7 +20,7 @@ export SPRING_AI_MISTRALAI_API_KEY=<INSERT KEY HERE>
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/oci-genai/cohere-chat.adoc
View File

@@ -11,7 +11,7 @@ You will need an active https://signup.oraclecloud.com/[Oracle Cloud Infrastruct
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/openai-chat.adoc
View File

@@ -17,7 +17,7 @@ export SPRING_AI_OPENAI_API_KEY=<INSERT KEY HERE>
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/perplexity-chat.adoc
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@@ -40,7 +40,7 @@ export SPRING_AI_OPENAI_CHAT_MODEL=llama-3.1-sonar-small-128k-online
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/zhipuai-chat.adoc
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@@ -18,7 +18,7 @@ export SPRING_AI_ZHIPU_AI_API_KEY=<INSERT KEY HERE>
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/azure-openai-embeddings.adoc
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@@ -55,7 +55,7 @@ NOTE: It is no longer necessary to create a `TokenCredential` bean; it is config
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/bedrock-cohere-embedding.adoc
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@@ -12,7 +12,7 @@ Refer to the xref:api/bedrock.adoc[Spring AI documentation on Amazon Bedrock] fo
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/bedrock-titan-embedding.adoc
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@@ -18,7 +18,7 @@ Refer to the xref:api/bedrock.adoc[Spring AI documentation on Amazon Bedrock] fo
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/minimax-embeddings.adoc
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@@ -18,7 +18,7 @@ export SPRING_AI_MINIMAX_API_KEY=<INSERT KEY HERE>
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/mistralai-embeddings.adoc
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@@ -19,7 +19,7 @@ export SPRING_AI_MISTRALAI_API_KEY=<INSERT KEY HERE>
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/oci-genai-embeddings.adoc
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@@ -9,7 +9,7 @@ The https://docs.oracle.com/en-us/iaas/Content/generative-ai/embed-models.htm[OC
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/onnx.adoc
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@@ -57,7 +57,7 @@ dependencies {
----
TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To configure it, use the `spring.ai.embedding.transformer.*` properties.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/openai-embeddings.adoc
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@@ -20,7 +20,7 @@ export SPRING_AI_OPENAI_API_KEY=<INSERT KEY HERE>
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/postgresml-embeddings.adoc
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@@ -12,7 +12,7 @@ You can browse all the https://huggingface.co/models?library=sentence-transforme
== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/vertexai-embeddings-multimodal.adoc
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@@ -30,7 +30,7 @@ gcloud auth application-default login <ACCOUNT>
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/vertexai-embeddings-text.adoc
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@@ -22,7 +22,7 @@ gcloud auth application-default login <ACCOUNT>
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/embeddings/zhipuai-embeddings.adoc
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@@ -20,7 +20,7 @@ export SPRING_AI_ZHIPU_AI_API_KEY=<INSERT KEY HERE>
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/image/azure-openai-image.adoc
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@@ -45,7 +45,7 @@ This is because in OpenAI there is no `Deployment Name`, only a `Model Name`.
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/image/zhipuai-image.adoc
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@@ -18,7 +18,7 @@ export SPRING_AI_ZHIPU_AI_API_KEY=<INSERT KEY HERE>
=== Add Repositories and BOM
Spring AI artifacts are published in Maven Central and Spring Snapshot repositories.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add these repositories to your build system.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add these repositories to your build system.
To help with dependency management, Spring AI provides a BOM (bill of materials) to ensure that a consistent version of Spring AI is used throughout the entire project. Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build system.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/chroma.adoc
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@@ -43,7 +43,7 @@ dependencies {
TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
TIP: Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
The vector store implementation can initialize the requisite schema for you, but you must opt-in by specifying the `initializeSchema` boolean in the appropriate constructor or by setting `...initialize-schema=true` in the `application.properties` file.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/couchbase.adoc
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@@ -46,7 +46,7 @@ NOTE: Couchbase Vector search is only available in starting version 7.6 and Java
TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Milestone and/or Snapshot Repositories to your build file.
TIP: Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Milestone and/or Snapshot Repositories to your build file.
The vector store implementation can initialize the configured bucket, scope, collection and search index for you, with default options, but you must opt-in by specifying the `initializeSchema` boolean in the appropriate constructor.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/elasticsearch.adoc
View File

@@ -75,7 +75,7 @@ dependencies {
TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
TIP: Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
The vector store implementation can initialize the requisite schema for you, but you must opt-in by specifying the `initializeSchema` boolean in the appropriate constructor or by setting `...initialize-schema=true` in the `application.properties` file.
Alternatively you can opt-out the initialization and create the index manually using the Elasticsearch client, which can be useful if the index needs advanced mapping or additional configuration.

7
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/hana.adoc
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@@ -12,13 +12,14 @@ Users are expected to provide their own configuration in the applications using
TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
Please have a look at the list of xref:#_hanacloudvectorstore_properties[configuration parameters] for the vector store to learn about the default values and configuration options.
Please have a look at the list of xref:#hanacloudvectorstore-properties[HanaCloudVectorStore Properties] for the vector store to learn about the default values and configuration options.
TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
TIP: Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
Additionally, you will need a configured `EmbeddingModel` bean. Refer to the xref:api/embeddings.adoc#available-implementations[EmbeddingModel] section for more information.
== HanaCloudVectorStore properties
[[hanacloudvectorstore-properties]]
== HanaCloudVectorStore Properties
You can use the following properties in your Spring Boot configuration to customize the SAP Hana vector store.
It uses `spring.datasource.*` properties to configure the Hana datasource and the `spring.ai.vectorstore.hanadb.*` properties to configure the Hana vector store.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/mariadb.adoc
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@@ -59,7 +59,7 @@ For example, to use the xref:api/embeddings/openai-embeddings.adoc[OpenAI Embedd
</dependency>
----
TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
TIP: Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
Now you can auto-wire the `MariaDBVectorStore` in your application:

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/milvus.adoc
View File

@@ -38,7 +38,7 @@ dependencies {
TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
The vector store implementation can initialize the requisite schema for you, but you must opt-in by specifying the `initializeSchema` boolean in the appropriate constructor or by setting `...initialize-schema=true` in the `application.properties` file.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/mongodb.adoc
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@@ -48,7 +48,7 @@ dependencies {
TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
TIP: Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
The vector store implementation can initialize the requisite schema for you, but you must opt-in by setting `spring.ai.vectorstore.mongodb.initialize-schema=true` in the `application.properties` file.
Alternatively you can opt-out the initialization and create the index manually using the MongoDB Atlas UI, Atlas Administration API, or Atlas CLI, which can be useful if the index needs advanced mapping or additional configuration.

4
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/neo4j.adoc
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@@ -50,9 +50,9 @@ dependencies {
TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
Please have a look at the list of xref:#_neo4jvectorstore_properties[configuration parameters] for the vector store to learn about the default values and configuration options.
Please have a look at the list of xref:#neo4jvector-properties[Configuration Properties] for the vector store to learn about the default values and configuration options.
TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
TIP: Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
The vector store implementation can initialize the requisite schema for you, but you must opt-in by specifying the `initializeSchema` boolean in the appropriate constructor or by setting `...initialize-schema=true` in the `application.properties` file.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/oracle.adoc
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@@ -58,7 +58,7 @@ dependencies {
----
TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
To connect to and configure the `OracleVectorStore`, you need to provide access details for your database.
A simple configuration can either be provided via Spring Boot's `application.yml`

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/pgvector.adoc
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@@ -88,7 +88,7 @@ dependencies {
----
TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
To connect to and configure the `PgVectorStore`, you need to provide access details for your instance.
A simple configuration can be provided via Spring Boot's `application.yml`.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/pinecone.adoc
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@@ -53,7 +53,7 @@ dependencies {
TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
TIP: Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
Additionally, you will need a configured `EmbeddingModel` bean. Refer to the xref:api/embeddings.adoc#available-implementations[EmbeddingModel] section for more information.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/qdrant.adoc
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@@ -44,7 +44,7 @@ TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Man
Please have a look at the list of xref:#qdrant-vectorstore-properties[configuration parameters] for the vector store to learn about the default values and configuration options.
TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
TIP: Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
The vector store implementation can initialize the requisite schema for you, but you must opt-in by specifying the `initializeSchema` boolean in the builder or by setting `...initialize-schema=true` in the `application.properties` file.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/redis.adoc
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@@ -49,7 +49,7 @@ dependencies {
TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Management] section to add the Spring AI BOM to your build file.
TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
TIP: Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
The vector store implementation can initialize the requisite schema for you, but you must opt-in by specifying the `initializeSchema` boolean in the appropriate constructor or by setting `...initialize-schema=true` in the `application.properties` file.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/typesense.adoc
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@@ -43,7 +43,7 @@ TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Man
Please have a look at the list of xref:#_configuration_properties[configuration parameters] for the vector store to learn about the default values and configuration options.
TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
TIP: Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
The vector store implementation can initialize the requisite schema for you but you must opt-in by setting `...initialize-schema=true` in the `application.properties` file.

2
spring-ai-docs/src/main/antora/modules/ROOT/pages/api/vectordbs/weaviate.adoc
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@@ -96,7 +96,7 @@ TIP: Refer to the xref:getting-started.adoc#dependency-management[Dependency Man
Please have a look at the list of xref:#_weaviatevectorstore_properties[configuration parameters] for the vector store to learn about the default values and configuration options.
TIP: Refer to the xref:getting-started.adoc#repositories[Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
TIP: Refer to the xref:getting-started.adoc#artifact-repositories[Artifact Repositories] section to add Maven Central and/or Snapshot Repositories to your build file.
Additionally, you will need a configured `EmbeddingModel` bean. Refer to the xref:api/embeddings.adoc#available-implementations[EmbeddingModel] section for more information.